Image de couverture de livre

Application of CTS (Computer to Screen) Machine in Printing Industries for Process Improvement & Material Optimization

Fuente: arXiv

Enregistré dans:

Détails bibliographiques
Auteur principal:	Islam, Tarequl
Format:	Preprint
Publié:	2025
Sujets:	Mathematical Finance
Accès en ligne:	Acceder al recurso
Tags:	Ajouter un tag Pas de tags, Soyez le premier à ajouter un tag!

Documents similaires

Variance-Hawkes Process and its Application to Energy Markets
par: McGillivray, Joshua, et autres
Publié: (2024)

Event-Based Limit Order Book Simulation under a Neural Hawkes Process: Application in Market-Making
par: Lalor, Luca, et autres
Publié: (2025)

Computing the SSR
par: Friz, Peter K., et autres
Publié: (2024)

Endogenous Crashes as Phase Transitions
par: Nayar, Revant, et autres
Publié: (2024)

Analytical Formula for Fractional-Order Conditional Moments of Nonlinear Drift CEV Process with Regime Switching: Hybrid Approach with Applications
par: Chumpong, Kittisak, et autres
Publié: (2024)

Machine Learning Methods for Pricing Financial Derivatives
par: Fan, Lei, et autres
Publié: (2024)

SPX-VIX Risk Computations Via Perturbed Optimal Transport
par: Che, Charlie, et autres
Publié: (2026)

Market Reactions to Material Cybersecurity Incident Disclosures
par: Block, Maxwell
Publié: (2025)

The Variance-Gamma Process for Option Pricing
par: Shenoy, Rohan, et autres
Publié: (2025)

Some Computations for Optimal Execution with Monotone Strategies
par: Dolinsky, Yan
Publié: (2024)

Marginal Price Optimization
par: Loesch, Stefan, et autres
Publié: (2025)

Options Pricing under Bayesian MS-VAR Process
par: Gankhuu, Battulga
Publié: (2021)

Reinforcement Learning for Jump‐Diffusions, With Financial Applications
par: Xuefeng Gao, et autres
Publié: (2026)

Applications of the Second-Order Esscher Pricing in Risk Management
par: Choulli, Tahir, et autres
Publié: (2024)

Mathematics of Differential Machine Learning in Derivative Pricing and Hedging
par: Gomes, Pedro Duarte
Publié: (2024)

ajdmom: A Python Package for Deriving Moment Formulas of Affine Jump Diffusion Processes
par: Wu, Yan-Feng, et autres
Publié: (2024)

Withdrawal Success Optimization in a Pooled Annuity Fund
par: Brown, Hayden
Publié: (2024)

Mean-Variance Optimization for Participating Life Insurance Contracts
par: Fießinger, Felix, et autres
Publié: (2024)

Modelling High-Frequency Data with Bivariate Hawkes Processes: Power-Law vs. Exponential Kernels
par: Batra, Neal
Publié: (2025)

Quanto Option Pricing on a Multivariate Levy Process Model with a Generative Artificial Intelligence
par: Kim, Young Shin, et autres
Publié: (2024)

Predictable Relative Forward Performance Processes: Multi-Agent and Mean Field Games for Portfolio Management
par: Liang, Gechun, et autres
Publié: (2023)

Efficient Multivariate Kelly Optimization Reveals Sigmoidal Scaling Laws
par: Tepelyan, Ruslan, et autres
Publié: (2026)

Agents' Behavior and Interest Rate Model Optimization in DeFi Lending
par: Charles Bertucci, et autres
Publié: (2025)

Long-Term Mean-Variance Optimization Under Mean-Reverting Equity Returns
par: Preisel, Michael
Publié: (2023)

Learning to Optimally Stop Diffusion Processes, with Financial Applications
par: Dai, Min, et autres
Publié: (2024)

Dynamic Liquidity Provision in Decentralized Markets: Strategy Optimization and Performance Evaluation in Concentrated Liquidity AMMs
par: Urusov, Andrey, et autres
Publié: (2025)

Data-driven Feynman-Kac Discovery with Applications to Prediction and Data Generation
par: Feng, Qi, et autres
Publié: (2025)

Forward Performance Processes under Multiple Default Risks
par: Chong, Wing Fung, et autres
Publié: (2026)

Inverse Behavioral Optimization of QALY-Based Incentive Systems Quantifying the System Impact of Adaptive Health Programs
par: Cha, Jinho, et autres
Publié: (2025)

A Path Integral Approach for Time-Dependent Hamiltonians with Applications to Derivatives Pricing
par: Stedman, Mark, et autres
Publié: (2024)

Forecasting Volatility with Machine Learning and Rough Volatility: Example from the Crypto-Winter
par: Tang, Siu Hin, et autres
Publié: (2023)

Neural Term Structure of Additive Process for Option Pricing
par: Lin, Jimin, et autres
Publié: (2024)

On the Application of Laplace Transform to the Ruin Problem with Random Insurance Payments and Investments in a Risky Asset
par: Antipov, Viktor
Publié: (2025)

Automated Market Makers: A Stochastic Optimization Approach for Profitable Liquidity Concentration
par: Zeller, Simon Caspar, et autres
Publié: (2025)

On Time-subordinated Brownian Motion Processes for Financial Markets
par: Shenoy, Rohan, et autres
Publié: (2025)

Model-Free Deep Hedging with Transaction Costs and Light Data Requirements
par: Brugière, Pierre, et autres
Publié: (2025)

Marketron games: Self-propelling stocks vs dumb money and metastable dynamics of the Good, Bad and Ugly markets
par: Halperin, I., et autres
Publié: (2025)

Time-Varying Factor-Augmented Models for Volatility Forecasting
par: Zhang, Duo, et autres
Publié: (2025)

Proactive Market Making and Liquidity Analysis for Everlasting Options in DeFi Ecosystems
par: Mohanty, Hardhik, et autres
Publié: (2025)

Forecasting implied volatility surface with generative diffusion models
par: Jin, Chen, et autres
Publié: (2025)